Gael Varoquaux 5/18/2015

Software for reproducible science: let’s not have a misunderstanding

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This article examines the challenges of requiring fully reproducible code in scientific publications. It argues that an excessive focus on immediate reproducibility can conflict with good software engineering practices and create a 'bubble'. The piece advocates for a progressive consolidation of scientific code rather than setting an impossibly high bar for code release, using examples from psychology and economics to illustrate the importance and limitations of code sharing.

Software for reproducible science: let’s not have a misunderstanding

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